Microsoft's official video series for IT Pros.
Build low-latency recommendation engines with Azure Cosmos DB and Azure OpenAI Service. Elevate user experience with vector-based semantic search, going beyond traditional keyword limitations to deliver personalized recommendations in real-time. With pre-trained models stored in Azure Cosmos DB, tailor product predictions based on user interactions and preferences. Explore the power of augmented vector search for optimized results prioritized by relevance.
Kirill Gavrylyuk, Azure Cosmos DB General Manager, shows how to build recommendation systems with limitless scalability, leveraging pre-computed vectors and collaborative filtering for next-level, real-time insights.
► QUICK LINKS: 00:00 - Build a low latency recommendation engine 00:59 - Keyword search 01:46 - Vector-based semantic search 02:39 - Vector search built-in to Cosmos DB 03:56 - Model training 05:18 - Code for product predictions 06:02 - Test code for product prediction 06:39 - Augmented vector search 08:23 - Test code for augmented vector search 09:16 - Wrap up
► Link References
Walk through an example at https://aka.ms/CosmosDBvectorSample
Try out Cosmos DB for MongoDB for free at https://aka.ms/TryC4M
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Leverage FinOps in Azure to optimize your cloud spend and drive accountability across your organization. With Microsoft Cost Management, gain complete visibility into your cloud costs, track spending by department or project, and forecast future expenses. Utilize management groups, subscriptions, and tags to organize costs and allocate resources efficiently, ensuring alignment with organizational priorities.
Make informed decisions with proactive cost reduction recommendations from Azure Advisor and architectural best practices like Azure Landing Zones. Operationalize FinOps practices with centralized management focus and continuous evaluation through the FinOps Review assessment.
Azure expert, Matt McSpirit, shows how to improve your organization's capability and operational agility with FinOps on Azure.
► QUICK LINKS:
00:00 - Improve control on Azure through FinOps 01:01 - Gain visibility and accountability over Cloud spend 02:11 - Track and report spending 03:28- How to track costs 04:14 - Tagging resources 05:57 - Optimized efficiency07:02 - Maintain FinOps practices 08:05 - Wrap up
► Link References
How to implement FinOps on Azure at https://aka.ms/FinOps
Leverage Cloud Adoption Framework guidance at https://aka.ms/C-A-F-Tagging
Click-through demos at https://aka.ms/finops/guides
FinOps Review assessment at https://aka.ms/finops/review
Start using Microsoft Cost Management at https://aka.ms/CostManagement
► Unfamiliar with Microsoft Mechanics?
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Roll out Microsoft Copilot for Microsoft 365 at scale in three quick steps. See the methods for each to efficiently enable Copilot services:
We're also introducing a new capability with Restricted SharePoint Search, which enables SharePoint administrators to define the sites where every user in the organization is allowed to files and data using search, without impacting access to sites and files for people working in sites, which are not allowed for everyone to search.
With Copilot for Microsoft 365 services in place, track adoption and impact, and see how different groups in your organization are benefitting from Copilot services with the Microsoft Copilot Dashboard powered by Viva Insights. Now, even if you don't currently own Viva Insights, there is an offer for Microsoft Copilot customers to get these services included with your Copilot subscription: https://www.microsoft.com/en-us/microsoft-365/blog/2024/04/11/enabling-your-ai-transformation-journey-with-microsoft-viva/
► QUICK LINKS: 00:00 - Steps to deploy Copilot for Microsoft 365 01:01 - How to quickly optimize search 02:24 - How to set up Restricted SharePoint Search 03:23 - Update Microsoft 365 apps on managed devices 05:34 - Grant access to Copilot services 06:20 - Copilot Dashboard included with any Microsoft 365 subscription 07:00 - Copilot Dashboard powered by Viva Insights subscription 08:38 - Wrap Up
► Link References:
Get started at https://aka.ms/DeployCopilotforM365
Watch how to get ready for Copilot at https://aka.ms/CopilotSecurityMechanics
For more resources go to https://adoption.microsoft.com/copilot
► Unfamiliar with Microsoft Mechanics?
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Run Linux workloads on Azure for reliability, security, and innovation. Build your entire app in Azure, using Linux and open source services. Choose from a wide range of Linux distributions, leverage cost-saving benefits with Azure Hybrid Benefit, and get seamless integration with distros like SUSE, Ubuntu, and Red Hat.
Join Azure expert, Matt McSpirit as he shares why you should run your Linux workloads on Azure, and how to ensure security of sensitive data with AI-driven threat detection, Defender for Cloud, and Confidential Computing.
► QUICK LINKS: 00:00 - Run Linux workloads on Azure 00:26 - Open source distribution 02:44 - Build apps in Azure using open source technologies 03:40 - Limitless scaling and reliability 05:40 - Deploy, manage, and extend Linux workloads on Azure 06:53 - Red Hat integration 07:40 - Open source options for compute 08:32 - Extend and modernize app experiences 09:02 - Security advantages for Linux workloads 09:47 - Wrap Up
► Link References:
Get started with Linux on Azure at https://azure.com/linux
► Unfamiliar with Microsoft Mechanics?
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Ensure peak performance, security and compatibility with Azure for Red Hat Enterprise Linux. Leverage Azure Migrate to transition on-prem Linux VMs to Azure, for cloud-native or hybrid deployment. Deploy and orchestrate infrastructure with Azure Resource Manager templates, Terraform, and Ansible playbooks. Uncover cost-saving opportunities and performance optimization tools, and benefit from license portability, commitment-based discounts, and diverse compute options, including Azure Confidential Computing VMs, for enhanced scalability and efficiency. Experience flexibility with Azure, enabling RHEL workloads to run across global regions and edge locations, with Azure Arc providing centralized management and security for hybrid environments.
Join Azure expert, Matt McSpirit, as he shares why Azure is the right place to run your Red Hat Enterprise Linux workloads.
► QUICK LINKS:
00:00 - Why run Red Hat Enterprise Linux workloads on Azure? 01:10 - Integration 01:41 - Automated scripting or code-based options 02:09 - Beyond provisioning 02:31 - Customer support 03:07 - Efficiency- optimize your spend 04:28 - Increase performance and scalability 05:41 - Flexibility 06:26 - Update management 06:40 - Wrap Up
► Link References:
See the Forrester Consulting study at https://aka.ms/RHELTEI
For additional information check out https://aka.ms/RedHatAzure
► Unfamiliar with Microsoft Mechanics?
As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.
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A unified solution for comprehensive data protection with Microsoft Fabric and Microsoft Purview. Extend the security measures of Microsoft 365 to your schematized data, ensuring consistent protection across your entire data estate. From detecting insider risks to mitigating data loss and unauthorized sharing, leverage advanced visibility and control to safeguard sensitive information effectively.
Daniel Hidalgo, Microsoft Purview Product Manager, shares how to simplify your security strategy and gain deeper insights into data risks.
► QUICK LINKS: 00:00 - Unified solution to prevent data loss and detect data risk 01:36 - Microsoft Fabric experience 02:53 - Confidential labels are automatically inherited 03:16 - Detect sensitive information with DLP policies 04:03 - Create and publish a label 04:59 - Define protections 05:50 - Data Loss Prevention experience in Microsoft Purview 06:57 - Insider Risk Management with Microsoft Fabric 07:39 - Visibility of sensitive data with Microsoft Purview 08:19 - Wrap Up
► Link References:
Check out https://aka.ms/PurviewforFabric
Watch our shows on Insider Risk Management, check out https://aka.ms/IRMMechanics
► Unfamiliar with Microsoft Mechanics?
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The new Microsoft Surface Pro 10 and the latest Surface Laptop 6 are versatile AI PCs built for business. With the new Microsoft Copilot key built-in, you get quick access to Copilot AI experiences, so you can work smarter, be more productive, and boost creativity. Both are powered by the latest Intel Core Ultra processors, with integrated CPU and GPU, as well as a neural processing unit (NPU) for powering new AI experiences without affecting the CPU.
Both devices feature Windows Hello Enhanced Sign-in Security, perfect for multi-factor authentication; and Surface Pro 10 now has a built-in NFC card reader in Wi-Fi models, plus select Surface Laptop 6 15" models have a built-in smart card reader for more authentication options. The Surface Laptop 6 has options for powerful Intel Core Ultra H-Series processors with integrated Intel Arc graphics.
► QUICK LINKS:
00:00 - What's new for Surface Pro 10 and Surface Laptop 6 00:10 - Microsoft Copilot key built-in 00:33 - Security updates in Surface Pro 10 and Surface Laptop 6 01:09 - Versatility updates with Surface Pro 10 and Surface Laptop 6 01:52 - Performance updates with Surface Pro 10 and Surface Laptop 6 02:15 - Cloud PC experiences built in to Surface Pro 10 and Surface Laptop 6 02:46 - Management controls updated for Surface Pro 10 and Surface Laptop 6 04:04 - Repairability updates with Surface Pro 10 and Surface Laptop 6 04:26 - Surface Pro 10 and Surface Laptop 6 are built for business and AI 04:40 - Wrap Up
► Link References:
Check out https://surface.com/business
► Unfamiliar with Microsoft Mechanics?
As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.
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Protect your organization from insider threats with Microsoft Entra's Conditional Access and Adaptive Protection in Microsoft Purview. Automatically block access to critical assets when insider risk levels elevate, ensuring data security and compliance seamlessly. Set up custom policies based on risk levels and enforce strong authentication measures, safeguarding against data breaches. Gain control and visibility over insider activities without manual intervention, empowering proactive security measures.
Erin Miyake, Microsoft Purview’s Principal Product Manager shares how to enhance your data protection strategy.
► QUICK LINKS: 00:00 - Insider Risk in Conditional Access 00:41 - Extend Conditional Access 01:20 - Privacy-first approach 01:56 - Configure policy indicators 03:21 - Adapt protections based on changing risk 04:13 - Set custom policies 05:27 - Set a Conditional Access policy for moderate risk users 06:12 - Insider risk level changing over time 07:04 - Wrap Up
► Link References: For more about the policies you can set up go to https://aka.ms/IRM Mechanics
Get started today at https://aka.ms/adaptiveprotection
Watch our series on Insider Risk Management at https://aka.ms/IRMMechanics
► Unfamiliar with Microsoft Mechanics?
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Protect data while getting the benefits of generative AI with Microsoft Defender for Cloud Apps and Microsoft Purview. Safeguard against shadow IT risks with Microsoft Defender for Cloud Apps, unveiling hidden generative AI applications. Leverage Microsoft Purview to evaluate data exposure, automating policy enforcement for enhanced security. Ensure compliance with built-in data protections in Copilot for Microsoft 365, aligned with organizational policies set in Microsoft Purview, while maintaining trust and mitigating risks seamlessly across existing and future cloud applications.
Erin Miyake, Microsoft Purview's Principal Product Manager, shares how to take a unified approach to protecting your data.
► QUICK LINKS: 00:00 - Secure your data for generative AI 01:16 - App level experiences 01:46 - Block based on data sensitivity 02:45 - Admin experience 03:57 - Microsoft Purview AI Hub 05:08 - Set up policies 05:53 - Tailor policies to your needs 06:35 - Set up AI Hub in Microsoft Purview 07:09 - Wrap Up
► Link References: For information on Microsoft Defender for Cloud Apps go to https://aka.ms/MDA
Check out Microsoft Purview capabilities for AI go to https://aka.ms/PurviewAI/docs
Watch our episode on Copilot for Microsoft 365 data protections at https://aka.ms/CopilotAdminMechanics
Watch our episode about Data Loss Prevention policy options at https://aka.ms/DLPMechanics
► Unfamiliar with Microsoft Mechanics?
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Transform your security posture to stop attacks before they happen using Microsoft's Security Exposure Management in Microsoft Defender. Identify and mitigate potential threats with a comprehensive view of your organization's attack surface, critical assets, and security events. Prioritize security efforts effectively with curated initiatives, automated alerts, and actionable insights, so you can close down vulnerabilities before they're exploited.
Brjann Brekkan, Microsoft’s Exposure Management Director, shows how to gain control over your security landscape and stay ahead of emerging threats.
► QUICK LINKS:
00:00 - Prevent incidents before they happen 00:39 - Unify data and signals with Security Exposure Management 02:07 - See the experience in the Microsoft Defender portal 02:56 - Identify business critical data and sensitive information 03:33 - Key initiatives 04:17 - Assign an initiative owner 05:07 - Visual mapping of potential attack paths 07:05 - Wrap Up
► Link References:
Sign up for the preview at https://aka.ms/ExposureManagementpreview
Check out https://aka.ms/ExposureManagementdocs
► Unfamiliar with Microsoft Mechanics?
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Take advantage of Azure Cosmos DB for your AI-driven applications. Seamlessly integrate with large language models like ChatGPT, for real-time operational efficiency and limitless scalability. With its built-in vector search engine and multi-model support, Azure Cosmos DB for MongoDB vCore optimizes for just-in-time data retrieval, so you can build cutting-edge solutions at any scale.
Kirill Gavrylyuk, General Manager for the Azure Cosmos DB team, joins Jeremy Chapman to share how you can increase performance and cost-effectiveness, whether managing millions of users globally or building smaller-scale apps.
► QUICK LINKS:
00:00 - Get your database ready for AI with Azure Cosmos DB 02:33 - Solve for real-time data access requirements 03:39 - Automatic scaling 05:35 - How Azure CosmosDB works for copilot-style apps 06:38 - App using vectorized data 07:24 - Jupyter notebook demo 09:19 - Vector indexing and search in Cosmos DB 10:14 - Building a small copilot-style app 12:10 - Run smaller apps serverless 12:35 - Set maximum throughput thresholds 13:39 - Auto scale using Cosmos DB 14:38 - Wrap Up
► Link References:
See how Cosmos DB vector search capabilities work at https://aka.ms/CosmosVector
Get a free trial at https://aka.ms/trycosmosdb
► Unfamiliar with Microsoft Mechanics?
As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.
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Your feedback is valuable to us. Should you encounter any bugs, glitches, lack of functionality or other problems, please email us on [email protected] or join Moon.FM Telegram Group where you can talk directly to the dev team who are happy to answer any queries.